新闻
ReToken: One Token to Improve Vision-Language Models for Visual Retrieval
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- ReToken adds a learnable token to vision-language models that selects relevant visual information from long contexts, improving retrieval performance while reducing memory demands.
- 为何重要
- Matters for engineers building or deploying vision-language systems that process long images or videos where GPU memory and distractor tokens limit performance.
- 注意
- Training uses only small image-QA datasets; generalization to diverse long-context tasks and real-world deployment scenarios remains to be validated.
- language model
- retrieval
- embedding
- kv cache
- token
这条新闻背后的模式
- Agentic Context Engineering (Evolving Playbook)
- Query Transformation Retrieval
- Tool Retrieval (Tool RAG)
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